Remote monitoring and automated management reduce the time to troubleshoot faulty networking devices by 75%, according to Dimension Data’s annual Network Barometer Report. Consequently, it takes 32% less time to repair such devices than those not managed in this way. Furthermore, this year’s research again shows a strong correlation between the failures caused by devices and their lifecycle stage.
According to the report, networks have continued to age for the fifth consecutive year, making 53% of the over 70,000 technology devices that were analyzed either aging or obsolete – up by two percentage points since last year.
There’s also been a slight drop in the percentage of obsolete devices – down to 9% from last year’s 11% – while the percentage of aging devices has increased by four points. The percentage of the current devices analyzed is at its lowest in three years.
Andre van Schalkwyk, Consulting Practice Manager for Dimension Data’s Networking Business Unit said, “During the seven-year history of the Network Barometer Report, the average tolerance level for organization’s obsolete devices in their networks has been around 10%. Rarely do organizations allow this to increase beyond 11% before they refresh the relevant devices. The conventional assumption was that an overall technology refresh was imminent, but our data shows that organizations are refreshing mostly obsolete devices, and are clearly willing to sweat their aging devices for longer than expected. Organizations therefore focus their refresh initiatives mostly on technology that has reached critical lifecycle stages when vendor support is no longer available,” explains van Schalkwyk.
Based on its experience in evaluating organizations’ operational support maturity, Dimension Data says that on a scale of five, some 90% of organizations are still at the first or second level of maturity. These levels are characterized by a lack of standard processes, ad hoc troubleshooting tools, and ambiguous roles and responsibilities for IT staff, resulting in extended network downtime and increased operational costs. This is also the reason why 30% of all service incidents are still related to human error.
Van Schalkwyk points out that mature monitoring, support, and maintenance processes allow for a higher tolerance for aging devices in the network. This proves the viability of managing an older network overall. “That’s provided there’s sufficient visibility of the lifecycle status of all devices, an understanding of their risk profile depending on their criticality to the infrastructure as a whole, and the proactive management of that risk. Overall, we’re seeing a growing need for more effective day-to-day network management across all corporate networks.”
Dimension Data’s Network Barometer Report globally analyses, compares and interprets the readiness of today’s networks to accelerate business. The 2015 Report was compiled from technology data gathered from over 350 Technology Lifecycle Management Assessments (up from 288 last year), which covered 70,000 technology devices in organisations of all sizes and all industry sectors across 28 countries. It also contains data relating to over 175,000 service incidents, logged at Dimension Data's Global Contact Centres, for client networks they support. The result is a multidimensional view of today’s networks.
The Latest
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...